Interactive surveys during online lectures for IT students
DOI:
https://doi.org/10.55056/cte.556Keywords:
student response systems, Mentimeter, online lectures, blended learning, online learningAbstract
The article investigates student response systems (SRS), and how to apply them to facilitate students' engagement and to improve the overall students' experience during online lectures. The authors give an overview of different student response systems (Mentimeter, AhaSlides, Kahoot!, Wooclap, Socrative, Poll Everywhere, and Slido) and make a comparison of their features. The work describes the experience of using the Mentimeter student response system at online lectures in the Operating Systems course for second-year students IT students of Zhytomyr Polytechnic State University (Software Engineering, Computer Science, Computer Engineering, and Cybersecurity specializations). The data is collected using observation, surveys and taking existing data. Data analysis methods include visual analysis (box plots, Q-Q plots, histograms) and statistical analysis (descriptive statistics, Shapiro-Wilk normality test, F-test, Kruskal-Wallis rank sum test). The study provides experimental results showing an increase in the number of students' answers within the lectures. It also highlights IT students' problems and preferences during online lectures. The authors give recommendations on using SRS during online lectures, aimed at improving the lecturer’s interaction with the audience.
Downloads
References
Ault, M.J. and Horn, C.K., 2018. Increasing Active Engagement: Guidelines for Using Student Response Systems. Journal of Special Education Technology, 33(3), pp.207–216. Available from: https://doi.org/10.1177/0162643418775745. DOI: https://doi.org/10.1177/0162643418775745
Barnett, J., 2006. Implementation of personal response units in very large lecture classes: Student perceptions. Australasian Journal of Educational Technology, 22, pp.474–494. Available from: https://doi.org/10.14742/ajet.1281. DOI: https://doi.org/10.14742/ajet.1281
Benson, J.D., Szucs, K.A. and Taylor, M., 2016. Student Response Systems and Learning: Perceptions of the Student. Occupational Therapy In Health Care, 30(4), pp.406–414. Available from: https://doi.org/10.1080/07380577.2016.1222644. DOI: https://doi.org/10.1080/07380577.2016.1222644
Habel, C. and Stubbs, M., 2014. Mobile phone voting for participation and engagement in a large compulsory law course. Research in Learning Technology, 22. Available from: https://doi.org/10.3402/rlt.v22.19537. DOI: https://doi.org/10.3402/rlt.v22.19537
Hollander, M. and Wolfe, D.A., 1973. Nonparametric Statistical Methods. John Wiley & Sons.
Katsioudi, G. and Kostareli, E., 2021. A Sandwich-model experiment with personal response systems on epigenetics: insights into learning gain, student engagement and satisfaction. The FEBS Journal, 11, p.1282–1298. Available from: https://doi.org/10.1002/2211-5463.13135. DOI: https://doi.org/10.1002/2211-5463.13135
Kay, R.H. and Lesage, A., 2009. Examining the Benefits and Challenges of Using Audience Response Systems: A Review of the Literature. Computers & Education, 53(3), p.819–828. Available from: https://doi.org/10.1016/j.compedu.2009.05.001. DOI: https://doi.org/10.1016/j.compedu.2009.05.001
Koppitsch, S. and Meyer, J., 2022. Do points matter? The effects of gamification activities with and without points on student learning and engagement. Marketing Education Review, 32(1), pp.45–53. Available from: https://doi.org/10.1080/10528008.2021.1887745. DOI: https://doi.org/10.1080/10528008.2021.1887745
Kovalchuk, V., Maslich, S. and Movchan, L., 2023. Digitalization of vocational education under crisis conditions. Educational Technology Quarterly. Available from: https://doi.org/10.55056/etq.49. DOI: https://doi.org/10.55056/etq.49
Lamb, D., Knowles, L., Rattadilok, P., Towey, D. and Walker, J., 2020. Can Clicker Technology and the Latest Online Response Systems Enhance Student Engagement? A Comparative Study of Two Approaches. In: C. Hong and W.W.K. Ma, eds. Applied Degree Education and the Future of Work: Education 4.0. Singapore: Springer Singapore, Lecture Notes in Educational Technology, pp.287–301. Available from: https://doi.org/10.1007/978-981-15-3142-2_22. DOI: https://doi.org/10.1007/978-981-15-3142-2_22
Miller, A.L., 2022. Adapting to teaching restrictions during the COVID-19 pandemic in Japanese universities. Educational Technology Quarterly, 2022(3), p.251–262. Available from: https://doi.org/10.55056/etq.21. DOI: https://doi.org/10.55056/etq.21
Muir, S., Tirlea, L.L., Elphinstone, B. and Huynh, M., 2020. Promoting Classroom Engagement Through the Use of an Online Student Response System: A Mixed Methods Analysis. Journal of Statistics Education, 28, pp.1–13. Available from: https://doi.org/10.1080/10691898.2020.1730733. DOI: https://doi.org/10.1080/10691898.2020.1730733
Patterson, K.K., Ritwik, P., Kerins, C.A. and Adewumi, A., 2020. Real-time measurement for effectiveness of novel educational endeavors during the COVID-19 pandemic. J Dent Educ., 85(Suppl 1). Available from: https://doi.org/10.1002/jdd.12363. DOI: https://doi.org/10.1002/jdd.12363
Pinchuk, N., Pinchuk, O., Bondarchuk, O., Balakhtar, V., Balakhtar, K., Onopriienko-Kapustina, N., Shyshkina, M. and Kuzminska, O., 2022. Personal indicators of occupational stress of employees working remotely in a pandemic quarantine. Educational Technology Quarterly, 2022(2), p.129–142. Available from: https://doi.org/10.55056/etq.8. DOI: https://doi.org/10.55056/etq.8
Quiroz Canlas, F., Nair, S. and Nirmal Doss, A., 2020. Mentimeter App in Computer Science Courses: Integration Model and Students’ Reception. 2020 12th International Conference on Education Technology and Computers. New York, NY, USA: Association for Computing Machinery, ICETC’20, p.1–5. Available from: https://doi.org/10.1145/3436756.3436757. DOI: https://doi.org/10.1145/3436756.3436757
Roman, C., Delgado, M. and García-Morales, M., 2021. Socrative, a powerful digital tool for enriching the teaching–learning process and promoting interactive learning in chemistry and chemical engineering studies. Computer Applications in Engineering Education, 29. Available from: https://doi.org/10.1002/cae.22408. DOI: https://doi.org/10.1002/cae.22408
Tetep, T., Suherman, A., Dimyati, E., Hermansyah, H., Melati, P. and Darojat, A., 2018. The Use of Mentimeter Applications in Online Learning during the Covid-19 Pandemic at the MGMP PPKn Garut Regency. Journal Pekemas, 3(2), pp.51–56. Available from: http://web.archive.org/web/20220804025339/https://ejournals.institutpendidikan.ac.id/index.php/PEKEMAS/article/view/42.
Tkachuk, V., Yechkalo, Y.V., Semerikov, S., Kislova, M. and Hladyr, Y., 2020. Using Mobile ICT for Online Learning During COVID-19 Lockdown. In: A. Bollin, V. Ermolayev, H.C. Mayr, M. Nikitchenko, A. Spivakovsky, M.V. Tkachuk, V. Yakovyna and G. Zholtkevych, eds. Information and Communication Technologies in Education, Research, and Industrial Applications - 16th International Conference, ICTERI 2020, Kharkiv, Ukraine, October 6-10, 2020, Revised Selected Papers. Springer, Communications in Computer and Information Science, vol. 1308, pp.46–67. Available from: https://doi.org/10.1007/978-3-030-77592-6_3. DOI: https://doi.org/10.1007/978-3-030-77592-6_3
Tkachuk, V.V., Yechkalo, Y.V. and Semerikov, S.O., 2019. The research of process of applying mobile ICT by university students: mobile testing systems and mobile means of multimedia development. Educational Dimension, 1, p.125–146. Available from: https://doi.org/10.31812/educdim.v53i1.3839. DOI: https://doi.org/10.31812/educdim.v53i1.3839
Tkachuk, V.V., Yechkalo, Y.V., Semerikov, S.O., Khotskina, S.M., Markova, O.M. and Taraduda, A.S., 2022. Distance learning during COVID-19 pandemic: mobile information and communications technology overview. Educational Dimension, 7, p.282–291. Available from: https://doi.org/10.31812/educdim.7612. DOI: https://doi.org/10.31812/educdim.7612
Wang, A.I., 2015. The wear out effect of a game-based student response system. Computers & Education, 82, pp.217–227. Available from: https://doi.org/10.1016/j.compedu.2014.11.004. DOI: https://doi.org/10.1016/j.compedu.2014.11.004
Wood, A., 2020. Utilizing technology-enhanced learning in geography: testing student response systems in large lectures. Journal of Geography in Higher Education, 44, pp.160–170. Available from: https://doi.org/10.1080/03098265.2019.1697653. DOI: https://doi.org/10.1080/03098265.2019.1697653
Downloads
Submitted
Published
Issue
Section
License
Copyright (c) 2023 Olena S. Holovnia, Natalia O. Shchur, Iryna A. Sverchevska, Yelyzaveta M. Bailiuk, Oleksandra A. Pokotylo
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Accepted 2022-12-22
Published 2023-03-21